scholarly journals Obesity Prolongs the Inflammatory Response in Mice After Severe Trauma and Attenuates the Splenic Response to the Inflammatory Reflex

2021 ◽  
Vol 12 ◽  
Author(s):  
Fabian Gärtner ◽  
Adrian Gihring ◽  
Aileen Roth ◽  
Joachim Bischof ◽  
Pengfei Xu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Host Response ◽  
Severe Trauma ◽  
High Dimensional ◽  
Thoracic Injuries ◽  
Obese Mice ◽  
Migration Patterns ◽  
Additional Risk ◽  
Inflammatory Phase ◽  
Regular Flow

Thoracic traumas with extra-thoracic injuries result in an immediate, complex host response. The immune response requires tight regulation and can be influenced by additional risk factors such as obesity, which is considered a state of chronic inflammation. Utilizing high-dimensional mass and regular flow cytometry, we define key signatures of obesity-related alterations of the immune system during the response to the trauma. In this context, we report a modification in important components of the splenic response to the inflammatory reflex in obese mice. Furthermore, during the response to trauma, obese mice exhibit a prolonged increase of neutrophils and an early accumulation of inflammation associated CCR2+CD62L+Ly6Chi monocytes in the blood, contributing to a persistent inflammatory phase. Moreover, these mice exhibit differences in migration patterns of monocytes to the traumatized lung, resulting in decreased numbers of regenerative macrophages and an impaired M1/M2 switch in traumatized lungs. The findings presented in this study reveal an attenuation of the inflammatory reflex in obese mice, as well as a disturbance of the monocytic compartment contributing to a prolonged inflammation phase resulting in fewer phenotypically regenerative macrophages in the lung of obese mice.

Stress, Cortisol and Suicide Risk

2019 ◽  
Author(s):  
Daryl Brian O'Connor
Keyword(s):  
Risk Factors ◽  
Suicidal Behavior ◽  
Suicide Risk ◽  
Stressful Events ◽  
Additional Risk ◽  
Global Health Issue ◽  
History Of ◽  
Hpa Axis Activity ◽  
The Impact

Suicide is a global health issue accounting for at least 800,000 deaths per annum. Numerous models have been proposed that differ in their emphasis on the role of psychological, social, psychiatric and neurobiological factors in explaining suicide risk. Central to many models is a stress-diathesis component which states that suicidal behavior is the result of an interaction between acutely stressful events and a susceptibility to suicidal behavior (a diathesis). This article presents an overview of studies that demonstrate that stress and dysregulated hypothalamic-pituitary-adrenal (HPA) axis activity, as measured by cortisol levels, are important additional risk factors for suicide. Evidence for other putative stress-related suicide risk factors including childhood trauma, impaired executive function, impulsivity and disrupted sleep are considered together with the impact of family history of suicide, perinatal and epigenetic influences on suicide risk.

Prevalence and prognostic impact of left ventricular systolic dysfunction after acute myocardial infarction

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
T.J Jernberg ◽  
E.O Omerovic ◽  
E.H Hamilton ◽  
K.L Lindmark ◽  
L.D Desta ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Myocardial Infarction ◽  
Atrial Fibrillation ◽  
Risk Factor ◽  
Reperfusion Therapy ◽  
Left Ventricular ◽  
Funding Source ◽  
Additional Risk Factor ◽  
Additional Risk

Abstract Background Left ventricular dysfunction after an acute myocardial infarction (MI) is associated with poor outcome. The PARADISE-MI trial is examining whether an angiotensin receptor-neprilysin inhibitor reduces the risk of cardiovascular death or worsening heart failure (HF) in this population. The aim of this study was to examine the prevalence and prognosis of different subsets of post-MI patients in a real-world setting. Additionally, the prognostic importance of some common risk factors used as risk enrichment criteria in the PARADISE-MI trial were specifically examined. Methods In a nationwide myocardial infarction registry (SWEDEHEART), including 87 177 patients with type 1 MI between 2011–2018, 3 subsets of patients were identified in the overall MI cohort (where patients with previous HF were excluded); population 1 (n=27 568 (32%)) with signs of acute HF or an ejection fraction (EF) <50%, population 2 (n=13 038 (15%)) with signs of acute HF or an EF <40%, and population 3 (PARADISE-MI like) (n=11 175 (13%)) with signs of acute HF or an EF <40% and at least one risk factor (Age ≥70, eGFR <60, diabetes mellitus, prior MI, atrial fibrillation, EF <30%, Killip III-IV and STEMI without reperfusion therapy). Results When all MIs, population 1 (HF or EF <50%), 2 (HF or EF <40%) and 3 (HF or EF <40% + additional risk factor (PARADISE-MI like)) were compared, the median (IQR) age increased from 70 (61–79) to 77 (70–84). Also, the proportion of diabetes (22% to 33%), STEMI (38% to 50%), atrial fibrillation (10% to 24%) and Killip-class >2 (1% to 7%) increased. After 3 years of follow-up, the cumulative probability of death or readmission because of heart failure in the overall MI population and in population 1 to 3 was 17.4%, 26.9%, 37.6% and 41.8%, respectively. In population 2, all risk factors were independently associated with death or readmission because of HF (Age ≥70 (HR (95% CI): 1.80 (1.66–1.95)), eGFR <60 (1.62 (1.52–1.74)), diabetes mellitus (1.35 (1.26–1.44)), prior MI (1.16 (1.07–1.25)), atrial fibrillation (1.35 (1.26–1.45)), EF <30% (1.69 (1.58–1.81)), Killip III-IV (1.34 (1.19–1.51)) and STEMI without reperfusion therapy (1.34 (1.21–1.48))) in a multivariable Cox regression analysis. The risk increased with increasing number of risk factors (Figure 1). Conclusion Depending on definition, post MI HF is present in 13–32% of all MI patients and is associated with a high risk of subsequent death or readmission because of HF. The risk increases significantly with every additional risk factor. There is a need to optimize management and improve outcomes for this high risk population. Figure 1 Funding Acknowledgement Type of funding source: Private company. Main funding source(s): Novartis

scholarly journals Neuroinflammation and Brain Development: Possible Risk Factors in COVID-19-Infected Children

2021 ◽  
pp. 1-7
Author(s):  
Luana da Silva Chagas ◽  
Poliana Capucho Sandre ◽  
Patricia Coelho de Velasco ◽  
Henrique Marcondes ◽  
Natalia Cristina Aparecida Ribeiro e Ribeiro ◽  
...  
Keyword(s):  
Risk Factors ◽  
Fatty Acids ◽  
Brain Development ◽  
Neural Development ◽  
Viral Infections ◽  
Additional Risk ◽  
Autoimmune Hypothyroidism ◽  
Inflammatory Syndrome ◽  
Nutritional Imbalance ◽  
Synaptic Pruning

COVID-19, a disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) betacoronavirus, affects children in a different way than it does in adults, with milder symptoms. However, several cases of neurological symptoms with neuroinflammatory syndromes, such as the multisystem inflammatory syndrome (MIS-C), following mild cases, have been reported. As with other viral infections, such as rubella, influenza, and cytomegalovirus, SARS-CoV-2 induces a surge of proinflammatory cytokines that affect microglial function, which can be harmful to brain development. Along with the viral induction of neuroinflammation, other noninfectious conditions may interact to produce additional inflammation, such as the nutritional imbalance of fatty acids and polyunsaturated fatty acids and alcohol consumption during pregnancy. Additionally, transient thyrotoxicosis induced by SARS-CoV-2 with secondary autoimmune hypothyroidism has been reported, which could go undetected during pregnancy. Together, those factors may pose additional risk factors for SARS-CoV-2 infection impacting mechanisms of neural development such as synaptic pruning and neural circuitry formation. The present review discusses those conditions in the perspective of the understanding of risk factors that should be considered and the possible emergence of neurodevelopmental disorders in COVID-19-infected children.

scholarly journals Proportion and risk factors for death by euthanasia in dogs in the UK

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Camilla Pegram ◽  
Carol Gray ◽  
Rowena M. A. Packer ◽  
Ysabelle Richards ◽  
David B. Church ◽  
...  
Keyword(s):  
Risk Factors ◽  
Poor Quality ◽  
Clinical Factors ◽  
Sampling Frame ◽  
Additional Risk ◽  
Factors Associated ◽  
Regression Modelling ◽  
The Uk ◽  
Logistic Regression Modelling

AbstractThe loss of a pet can be particularly distressing for owners, whether the method of death is euthanasia or is unassisted. Using primary-care clinical data, this study aimed to report the demographic and clinical factors associated with euthanasia, relative to unassisted death, in dogs. Method of death (euthanasia or unassisted) and clinical cause of death were extracted from a random sample of 29,865 dogs within the VetCompass Programme from a sampling frame of 905,544 dogs under UK veterinary care in 2016. Multivariable logistic regression modelling was used to evaluate associations between risk factors and method of death. Of the confirmed deaths, 26,676 (89.3%) were euthanased and 2,487 (8.3%) died unassisted. After accounting for confounding factors, 6 grouped-level disorders had higher odds in euthanased dogs (than dogs that died unassisted), using neoplasia as the baseline. The disorders with greatest odds included: poor quality of life (OR 16.28), undesirable behaviour (OR 11.36) and spinal cord disorder (OR 6.00). Breed, larger bodyweight and increasing age were additional risk factors for euthanasia. The results highlight that a large majority of owners will face euthanasia decisions and these findings can support veterinarians and owners to better prepare for such an eventuality.

scholarly journals SOP: treatment of delirium

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Juraj Kukolja ◽  
Jens Kuhn
Keyword(s):  
Risk Factors ◽  
Intensive Care ◽  
Pharmacological Treatment ◽  
Heart Surgery ◽  
Standard Operating Procedure ◽  
Risk Behaviour ◽  
Severe Trauma ◽  
Pharmacological Interventions ◽  
Hospitalised Patients ◽  
High Risk Behaviour

Abstract Introduction Delirium is a frequent complication in hospitalised patients, often leading to difficulties in patient management and is associated with increased morbidity and mortality. Most patients in intensive care units develop delirium, however, it is also frequently observed in non-intensive care unit settings. Risk factors are, among others, older age, brain pathology, severe trauma, orthopaedic or heart surgery, metabolic or electrolyte dysregulations, infections and polypharmacy. The most important measures to prevent and treat delirium are recognition and removal of risk factors and causes. Although delirium is a very common and serious complication, evidence for pharmacological treatment is poor, and guidelines remain controversial. Accordingly, non-pharmacological treatments have gained increasing attention and should be applied. Based on current literature, guidelines and personal recommendations, we developed a standard operating procedure (SOP) encompassing non-pharmacological and pharmacological treatment of delirium. Comments In order to prevent delirium, risk factors should be identified and taken into account when planning the hospital stay and treatment. Prevention should include multimodal non-pharmacological interventions. The treatment of delirium should encompass the elimination of potential causes and non-pharmacological interventions. Pharmacological treatment should be used in a time-limited manner and in the lowest possible dose for the management of highly stressful symptoms or high-risk behaviour. Conclusion The SOP provides a pragmatic algorithm for the non-pharmacological and pharmacological treatment of delirium.

scholarly journals Uptake and detection rate of a stepwise cardiometabolic disease detection program in primary care—a cohort study

2019 ◽  
Vol 30 (3) ◽  
pp. 402-407
Author(s):  
Daphne M Stol ◽  
Monika Hollander ◽  
Ilse F Badenbroek ◽  
Mark M J Nielen ◽  
François G Schellevis ◽  
...  
Keyword(s):  
Risk Factors ◽  
Primary Care ◽  
Cohort Study ◽  
High Risk ◽  
Newly Diagnosed ◽  
Additional Risk ◽  
High Risk Patients ◽  
Detection Program ◽  
Risk Patients

Abstract Background Early detection and treatment of cardiometabolic diseases (CMD) in high-risk patients is a promising preventive strategy to anticipate the increasing burden of CMD. The Dutch guideline ‘the prevention consultation’ provides a framework for stepwise CMD risk assessment and detection in primary care. The aim of this study was to assess the outcome of this program in terms of newly diagnosed CMD. Methods A cohort study among 30 934 patients, aged 45–70 years without known CMD or CMD risk factors, who were invited for the CMD detection program within 37 general practices. Patients filled out a CMD risk score (step 1), were referred for additional risk profiling in case of high risk (step 2) and received lifestyle advice and (pharmacological) treatment if indicated (step 3). During 1-year follow-up newly diagnosed CMD, prescriptions and abnormal diagnostic tests were assessed. Results Twelve thousand seven hundred and thirty-eight patients filled out the risk score of which 865, 6665 and 5208 had a low, intermediate and high CMD risk, respectively. One thousand seven hundred and fifty-five high-risk patients consulted the general practitioner, in 346 of whom a new CMD was diagnosed. In an additional 422 patients a new prescription and/or abnormal diagnostic test were found. Conclusions Implementation of the CMD detection program resulted in a new CMD diagnosis in one-fifth of high-risk patients who attended the practice for completion of their risk profile. However, the potential yield of the program could be higher given the considerable number of additional risk factors—such as elevated glucose, blood pressure and cholesterol levels—found, requiring active follow-up and presumably treatment in the future.

Additional Risk Factors for Peri-implant Diseases

2020 ◽  
pp. 115-120
Author(s):  
Kitetsu Shin ◽  
Junichi Tatsumi ◽  
Joichiro Hayashi
Keyword(s):  
Risk Factors ◽  
Additional Risk

scholarly journals Review On Application of Data Mining in Life Insurance

2018 ◽  
Vol 7 (4.5) ◽  
pp. 159
Author(s):  
Vaibhav A. Hiwase ◽  
Dr. Avinash J Agrawa
Keyword(s):  
Risk Factors ◽  
Data Mining ◽  
Life Insurance ◽  
Insurance Industry ◽  
Feature Space ◽  
Machine Learning Techniques ◽  
High Dimensional ◽  
Insurance Company ◽  
Financial Loss ◽  
Life Insurance Company

The growth of life insurance has been mainly depending on the risk of insured people. These risks are unevenly distributed among the people which can be captured from different characteristics and lifestyle. These unknown distribution needs to be analyzed from        historical data and use for underwriting and policy-making in life insurance industry. Traditionally risk is calculated from selected     features known as risk factors but today it becomes important to know these risk factors in high dimensional feature space. Clustering in high dimensional feature is a challenging task mainly because of the curse of dimensionality and noisy features. Hence the use of data mining and machine learning techniques should experiment to see some interesting pattern and behaviour. This will help life insurance company to protect from financial loss to the insured person and company as well. This paper focuses on analyzing hidden correlation among features and use it for risk calculation of an individual customer.  

scholarly journals Research on intervention methods of nosocomial infection in neurosurgery

2020 ◽  
Vol 2 (1) ◽  
pp. 5
Author(s):  
Sung-Won Kim
Keyword(s):  
Risk Factors ◽  
Drug Resistance ◽  
Infection Rate ◽  
Effective Means ◽  
Severe Trauma ◽  
High Infection Rate ◽  
Intervention Measures ◽  
Bacterial Drug Resistance ◽  
High Infection

<p>The proportion of critically ill patients from neurosurgery wards in hospitals is significantly higher than that from other departments. These patients suffer from low immune. At the same time, because of the severe trauma after surgery and the complexity of pathogens in patients, antibiotics are frequently used. However, the of bacterial drug resistance is relatively high because of the particularity of hospitals, which is a major reason for the high infection rate of neurosurgery patients. Therefore, regarding to these risk factors, intervention measures should be actively explored in hospitals, so as to control the infection rate, reduce the possibility of infection in neurosurgery patients, improve the rehabilitation efficiency of patients, and reduce unnecessary suffering of patients caused by infection. This is also an effective means to improve the quality of hospital medical care. </p>

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